CLC number: TP274
On-line Access: 2014-12-23
Received: 2014-04-15
Revision Accepted: 2014-11-04
Crosschecked: 2014-12-17
Cited: 4
Clicked: 7190
Citations: Bibtex RefMan EndNote GB/T7714
Yu-jing Wu, Jin-Gyun Chung. Efficient controller area network data compression for automobile applications[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(1): 70-78.
@article{title="Efficient controller area network data compression for automobile applications",
author="Yu-jing Wu, Jin-Gyun Chung",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="16",
number="1",
pages="70-78",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1400136"
}
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1400136
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T1 - Efficient controller area network data compression for automobile applications
A1 - Yu-jing Wu
A1 - Jin-Gyun Chung
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DOI - 10.1631/FITEE.1400136
Abstract: Controller area networks (CANs) have been designed for multiplexing communication between electronic control units (ECUs) in vehicles and many high-level industrial control applications. When a CAN bus is overloaded by a large number of ECUs connected to it, both the waiting time and the error probability of the data transmission are increased. Thus, it is desirable to reduce the CAN frame length, since the duration of data transmission is proportional to the frame length. In this paper, we present a CAN message compression method to reduce the CAN frame length. Experimental results indicate that CAN transmission data can be compressed by up to 81.06% with the proposed method. By using an embedded test board, we show that 64-bit engine management system (EMS) CAN data compression can be performed within 0.16 ms; consequently, the proposed algorithm can be successfully used in automobile applications.
In this paper the authors present a compression mechanism to reduce the size of CAN messages, by comparing the payload of current and previous messages, and sending only the difference, instead of the absolute value. The paper identifies a clear task 'Data Compression', shows in a good manner the whole situation, the assumptions, former solutions and derives in a clear way the advantages of the proposed solution.
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